Triple
T13646497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmington River |
E326115
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Salmon Brook |
E262171
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Salmon Brook | Statement: [Farmington River, hasTributary, Salmon Brook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salmon Brook Context triple: [Farmington River, hasTributary, Salmon Brook]
-
A.
Salmon Brook
chosen
Salmon Brook is a small tributary stream in north London, England, that flows through suburban areas before joining the River Lea.
-
B.
Trout Brook
Trout Brook is a tributary stream that forms part of the Park River watershed in Connecticut.
-
C.
Smelt Brook
Smelt Brook is a small stream in Kingston, Massachusetts, that forms part of the town’s local freshwater and wetland ecosystem.
-
D.
Beaver Brook
Beaver Brook is a smaller stream in New Jersey that feeds into the Musconetcong River as part of the region’s freshwater watershed.
-
E.
Beaver Brook
Beaver Brook is a stream in the town of Dracut, Massachusetts, that forms part of the local watershed and natural landscape.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6073e888190965456a639839749 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014132570081909fab220c002c2f10 |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 9, 2026, 9:51 p.m.